c3: To calculate the c3 Comobidity Index (targeted at cancer...
In caimiao0714/MiaoCom: An R package for calculating comorbidity indexes for epidemiologists
Description
Usage
Arguments
Value
Note
Author(s)
References
Description
This file aims to calculate the c3 Comobidity Index.
Usage
1
Arguments
data
Your data file in which Elixhauser Comorbidity Index is to be calculated
comorbidity
A vector of all comorbidity variables
Value
data: a new data.frame named "data". This data frame contains a new variable "c3": the c3 Index was developed by Sarfati et al. in 2014. This is a comorbidity index targeted at cancer patients.
Note
This C3 index is used specifically for cancer patients.
Author(s)
Miao Cai <email: miao.cai@outlook.com>
References
Sarfati, D., et al., Cancer-specific administrative data-based comorbidity indices provided valid alternative to Charlson and National Cancer Institute Indices. J Clin Epidemiol, 2014. 67(5): p. 586-95
Sarfati, D., Developing new comorbidity indices for cancer populations using administrative data. 2013, University of Otago: Dunedin. <Dr. Sarfati's doctoral dissertation>
caimiao0714/MiaoCom documentation built on Oct. 8, 2021, 9:17 p.m.
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Description Usage Arguments Value Note Author(s) References
Description
This file aims to calculate the c3 Comobidity Index.
Usage
1 |
Arguments
data |
Your data file in which Elixhauser Comorbidity Index is to be calculated |
comorbidity |
A vector of all comorbidity variables |
Value
data: a new data.frame named "data". This data frame contains a new variable "c3": the c3 Index was developed by Sarfati et al. in 2014. This is a comorbidity index targeted at cancer patients.
Note
This C3 index is used specifically for cancer patients.
Author(s)
Miao Cai <email: miao.cai@outlook.com>
References
Sarfati, D., et al., Cancer-specific administrative data-based comorbidity indices provided valid alternative to Charlson and National Cancer Institute Indices. J Clin Epidemiol, 2014. 67(5): p. 586-95
Sarfati, D., Developing new comorbidity indices for cancer populations using administrative data. 2013, University of Otago: Dunedin. <Dr. Sarfati's doctoral dissertation>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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